Arya.ai, an Aurionpro company, is pleased to announce the launch of AryaXAI, an advanced AI explainability (XAI) and alignment platform, tailored for mission-critical applications. As part of the Aurionpro Enterprise AI suite, AryaXAI empowers enterprises with a sophisticated observability stack to ensure their AI solutions are not only explainable but also safe and aligned with regulatory and ethical standards. The platform addresses the increasing demand for transparency and accountability in high-stakes industries where AI usage is subject to regulations and potential model failures can have profound consequences.

To address the challenges of understanding complex models such as deep learning systems, Arya.ai has introduced an advanced Explainable AI (XAI) technique known as DLBacktrace. DLBacktrace is one of the most accurate, stable, and true-to-model XAI techniques for deep learning models. This enables enterprises to trace AI decisions, meet transparency regulations, and build trust. The XAI technique supports research in new areas such as model pruning, merging, distillation, and swapping for various deep learning models, including Large Language Models (LLMs) and multi-modal models. Recognizing its value for the broader community, Arya.ai is making DLBacktrace open-source to empower developers globally. It is available on GitHub – DLBacktrace along with the research paper.

The AryaXAI explainability stack also includes existing methods such as SHAP, LIME, SmoothGrad, and Integrated Gradients, along with tools to help users choose the best explanation method for any model.

For critical alignment, AryaXAI offers out-of-the-box strategies such as synthetic alignment to enhance model accuracy and performance, ensuring responsible, high-performing AI models. Its monitoring tools detect issues such as data drift and model bias, while customizable risk frameworks help maintain effective AI systems. An intuitive interface and automated logging simplify compliance and audits.

Emphasizing on AryaXAI’s strategic role in high-stakes industries, Vinay Kumar Sankarapu, CEO of Arya.ai, an Aurionpro Company, said: “As AI models grow increasingly complex, addressing explainability and alignment becomes more challenging—especially as AI agents simplify their development and fine-tuning. In mission-critical use cases like financial services, healthcare, and defense, the lack of clear insights into AI decision-making limits trust and adoption. At the same time, evolving regulations in these sectors demand greater clarity, accountability, and safety from AI systems.

AryaXAI is tackling these challenges by developing advanced explainability techniques and rigorous evaluation tools (evals) that provide enterprises with a clear understanding of their AI systems and multiple alignment options. Our solution enhances transparency, ensures alignment with business objectives, and delivers consistency, enabling safer and more reliable

AI applications. With AryaXAI, organizations can confidently navigate regulatory requirements while deploying AI that is both powerful and responsible.”

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